You run the business.Not an AI department.
Bring in a fractional Chief AI Officer.
Book a call
We find where AI actually pays.
Most AI projects fail because nobody asked what the business needs. We start with how your operation really runs — the handoffs, the workarounds, the things everyone knows are broken — and work out where automation earns its keep and where it would just be expensive.
We build the thing.
Not a slide deck. Working products, agents, and workflows, wired into the systems you already run. We built Paper Route end to end and have done the same kind of applied work for a medical practice, a hotel, a real estate firm, and a law practice — software that runs on Monday, not a recommendation.
We hand you the keys.
Your team learns to run it. Documentation, training, and enough understanding that they can change things without calling us. The measure of a good engagement is that you stop needing one.
95%
of guest interactions handled without a human
Hotel, Washington coast
Thirty years building the software other people use.
Greg brings thirty years of experience shipping product at companies you have heard of and building two of his own. Caio brings that same builder’s judgment to every engagement.
- ScribblCo-founder & CTOCurrent
- OnderCo-founder & CTOAcquired by EasyKnock
- DevHubChief Revenue Officer
- AngiVP of Product
- OutreachVP of Product
- ExpediaHead of Global Flights Shopping Product
- CompassFounding member, AI team
17 podcast appearances and features in Business Insider, NewsNation, and Commit 250.
AI at work.
Five working systems across a consumer product and four service businesses. Names are shared where permitted; numbers only where they can be supported.
References available upon request.
How it works
- 01
Assess
We learn how the business actually runs and find where AI is worth applying.
- 02
Build
Working agents and workflows, shipped into the systems you already use.
- 03
Enable
Your team is trained to run and extend what has been built.
- 04
Stand watch
We stay on as your part-time AI leadership for as long as that is useful.
Questions
The same thing a full-time one would, for a fraction of the week. We figure out where AI is worth applying in your business, build the things worth building, and make sure your team can run them after we step back. You get the function without carrying the headcount.
Most start with a short assessment of how the business actually runs — not a survey, a look at the real workflows. That produces a short list of things worth doing, in order. From there we either build, or stay on at a set number of days a month as your fractional AI leadership.
It depends on scope and how much of the week you need. Assessments are a fixed fee. Build work is scoped per project. The ongoing role is a monthly retainer. We will land on a number on the first call, once we understand what you are trying to change.
Almost never. The work is usually about connecting what you already have and automating the parts your team does by hand. Ripping out working software is expensive and rarely the thing standing between you and the outcome.
Weeks, not quarters. The first engagement is scoped so that something real is running early — a workflow your team stops doing manually — rather than a strategy document that sits unread.
That is decided deliberately, not by default. In regulated settings it has meant running models locally so sensitive records never leave the building. Elsewhere it means being explicit about which vendors see what, and writing that down.
Everything, eventually. The measure of this working is that you stop needing us. Systems get handed over with the documentation and the training to run and extend them, not as a black box only we understand.
Start with a conversation.
Thirty minutes, no deck. Tell us how the business runs and we will tell you honestly whether we can help.
Book a call